公开(公告)号：US10379933B2

公开(公告)日：2019-08-13

申请号：US15463601

申请日：2017-03-20

Applicant: SAP SE

Inventor： Robert Meusel ,  Jaakob Kind ,  Atreju Florian Tauschinsky ,  Janick Frasch ,  Minji Lee ,  Michael Otto

IPC: G06F11/07 ,  G06F16/2458 ,  G05B23/02 ,  G06N7/00

Abstract: Some embodiments include reception of a time-series of a respective data value generated by each of a plurality of sensors, calculation of a regression associated with a first sensor of the plurality of sensors based on the received plurality of time-series, the regression being a function of the respective data values of the others of the plurality of data sources, reception of respective data values associated with a time from and generated by each the plurality of respective sensors, determination of a predicted value associated with the time for the first sensor based on the regression associated with the first sensor and on the respective data values associated with the time, comparison of the predicted value with the received value associated with the time and generated by the first sensor, and determination of a value indicating a likelihood of an anomaly based on the comparison.

公开(公告)号：US20240297853A1

公开(公告)日：2024-09-05

申请号：US18646316

申请日：2024-04-25

Applicant: SAP SE

Inventor： Roman Rommel ,  Philipp Knuesel ,  Janick Frasch ,  Santo Bianchino

IPC: H04L47/70 ,  G06F9/48 ,  H04L9/40 ,  H04L41/22

CPC classification number: H04L47/827 ,  G06F9/4887 ,  H04L41/22 ,  H04L47/826 ,  H04L63/108

Abstract: Computer-readable media, methods, and systems are disclosed for scheduling a start time and a shutdown time of one or more online resources associated with a multi-cloud resource scheduler. A request from a first user is received to access a multi-cloud resource scheduler associated with one or more online resources. Responsive to the request from the first user, credentials of the first user are validated prior to providing access to the multi-cloud resource scheduler. Based upon validating the credentials of the first user, access to the multi-cloud resource scheduler is provided. Instructions are received from the first user to schedule a start time and a shutdown time of at least one online cloud resource connected to the multi-cloud resource scheduler. An availability of the at least one online cloud resource is established for access by a second user based on the instructions.

公开(公告)号：US12003428B2

公开(公告)日：2024-06-04

申请号：US17477807

申请日：2021-09-17

Applicant: SAP SE

Inventor： Roman Rommel ,  Philipp Knuesel ,  Janick Frasch ,  Santo Bianchino

IPC: H04L47/70 ,  G06F9/48 ,  H04L9/40 ,  H04L41/22

CPC classification number: H04L47/827 ,  G06F9/4887 ,  H04L41/22 ,  H04L47/826 ,  H04L63/108

Abstract: Computer-readable media, methods, and systems are disclosed for scheduling a start time and a shutdown time of one or more online resources associated with a multi-cloud resource scheduler. A request from a first user is received to access a multi-cloud resource scheduler associated with one or more online resources. Responsive to the request from the first user, credentials of the first user are validated prior to providing access to the multi-cloud resource scheduler. Based upon validating the credentials of the first user, access to the multi-cloud resource scheduler is provided. Instructions are received from the first user to schedule a start time and a shutdown time of at least one online cloud resource connected to the multi-cloud resource scheduler. An availability of the at least one online cloud resource is established for access by a second user based on the instructions.

公开(公告)号：US20220405651A1

公开(公告)日：2022-12-22

申请号：US17835506

申请日：2022-06-08

Applicant: SAP SE

Inventor： Philipp Knuesel ,  Andre Sres ,  Mirko Hin ,  Roman Rommel ,  Janick Frasch ,  Santo Bianchino ,  Dominik Heere

IPC: G06N20/20 ,  H04L67/10

Abstract: Some embodiments are directed to a federated machine learning, including the inference and training. Inference may be done by applying multiple machine learnable models to a mapped record. The mapped record may be obtained by applying a mapping rule to a local record. The mapping rule may generalize or extend data features in the local record.

公开(公告)号：US20210174563A1

公开(公告)日：2021-06-10

申请号：US17077387

申请日：2020-10-22

Applicant: SAP SE

Inventor： Sven Peterson ,  Linda Jahn ,  Janick Frasch ,  Ralf Schoenfeld ,  Florian Weigold ,  Alexandru Radu ,  Jan Gottweiss ,  Ralf Vath ,  Axel Kuhle ,  Lukas Brinkmann

IPC: G06T11/20 ,  G06F16/904

Abstract: Visualization of time series data includes sending to the data source a request for visualizing sensor data within a canvas having a width of w pixels and covering a visualization time range, each pixel of the canvas being representative of a time duration Iopt, receiving consecutive sets of tuples that each covers a time interval having the time duration It, performing a M4 aggregation comprising generating, from the received tuples, a set of consecutive w groups, each group of the w groups comprising tuples covering a time interval having the time duration Iopt, and determining for each group of the w groups a set of aggregates, and displaying the w sets of aggregates on the canvas of the browser window as a chart, wherein each one of the sets of aggregates is displayed in one of pixel columns of the canvas.

公开(公告)号：US20180239662A1

公开(公告)日：2018-08-23

申请号：US15463601

申请日：2017-03-20

Applicant: SAP SE

Inventor： Robert Meusel ,  Jaakob Kind ,  Atreju Florian Tauschinsky ,  Janick Frasch ,  Minji Lee ,  Michael Otto

IPC: G06F11/07 ,  G06F17/30 ,  G06N7/00

CPC classification number: G06F11/079 ,  G05B23/024 ,  G06F11/0721 ,  G06F16/2477 ,  G06N7/005

Abstract: Some embodiments include reception of a time-series of a respective data value generated by each of a plurality of sensors, calculation of a regression associated with a first sensor of the plurality of sensors based on the received plurality of time-series, the regression being a function of the respective data values of the others of the plurality of data sources, reception of respective data values associated with a time from and generated by each the plurality of respective sensors, determination of a predicted value associated with the time for the first sensor based on the regression associated with the first sensor and on the respective data values associated with the time, comparison of the predicted value with the received value associated with the time and generated by the first sensor, and determination of a value indicating a likelihood of an anomaly based on the comparison.